activity
20202025
most citedRediscovering the Slavic Continuum in Representations Emerging from Neural Models of Spoken Language Identification

8 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2025

It's Not a Walk in the Park! Challenges of Idiom Translation in Speech-to-text Systems

Iuliia Zaitova, Badr M. Abdullah, Wei Xue +3

Idioms are defined as a group of words with a figurative meaning not deducible from their individual components. Although modern machine translation systems have made remarkable pr…

cs.CL2025

Attention on Multiword Expressions: A Multilingual Study of BERT-based Models with Regard to Idiomaticity and Microsyntax

Iuliia Zaitova, Vitalii Hirak, Badr M. Abdullah +3

This study analyzes the attention patterns of fine-tuned encoder-only models based on the BERT architecture (BERT-based models) towards two distinct types of Multiword Expressions…

cs.CL2021

How Familiar Does That Sound? Cross-Lingual Representational Similarity Analysis of Acoustic Word Embeddings

Badr M. Abdullah, Iuliia Zaitova, Tania Avgustinova +2

How do neural networks "perceive" speech sounds from unknown languages? Does the typological similarity between the model's training language (L1) and an unknown language (L2) have…

cs.CL2020★ 8 cited

Rediscovering the Slavic Continuum in Representations Emerging from Neural Models of Spoken Language Identification

Badr M. Abdullah, Jacek Kudera, Tania Avgustinova +2

Deep neural networks have been employed for various spoken language recognition tasks, including tasks that are multilingual by definition such as spoken language identification. I…

eess.AS2020

Cross-Domain Adaptation of Spoken Language Identification for Related Languages: The Curious Case of Slavic Languages

Badr M. Abdullah, Tania Avgustinova, Bernd Möbius +1

State-of-the-art spoken language identification (LID) systems, which are based on end-to-end deep neural networks, have shown remarkable success not only in discriminating between…